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I love programming! EECS Master's at University of California-Irvine.
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Assessing your cultural and operational fit
University of California - Irvine
Data Scientist
June 29, 2026 – Present
csc-scripting-master
January 22, 2025 – January 22, 2025
csc-scripting-master — GitHub repository
View ProjectShellScriptingExercises
February 6, 2023 – February 8, 2023
This repository includes exercises from my scripting course where I implement .sh scripts (in a Linux environment), Python scripts, and Perl scripts to create tools and process large genetic data.
View ProjectFunctional_Gradient_Descent_and_Kernels
February 4, 2023 – February 17, 2023
I explore the theory behind calculus of variations, functionals, divergence theorem, functional differentiation, calculus of variations, and functional gradient descent. I implement functional gradient descent using both analytical and numerical methods. Furthermore, I explore kernels, reproducing kernel hilbert spaces, support vector machines, etc
View ProjectWiFi_Tracker
January 20, 2023 – January 20, 2023
I decided to learn about WiFi and its vulnerabilities. In this project I demonstrate how devices can be tracked using only probe requests even when their mac address is randomized.
View ProjectLeetCodeExercises
January 18, 2023 – September 7, 2024
I solve a bunch of free problems from Leetcode for fun! Implemented in Python and Java.
View ProjectMusic-Synthesis-and-Manipulation
August 3, 2020 – February 4, 2021
A Java demo that synthesizes tones out of noise. The implementation uses multiple data structures to achieve a wav-file that is synthesized using SoX command-line tool.
View ProjectCustom-NEAT-Implementation
June 1, 2020 – June 1, 2020
I create a simple NEAT Implementation in C Sharp. The project is created using Unity and runs on Windows and Android.
View ProjectPAK-unpacker
May 31, 2020 – May 31, 2020
I create a custom .PAK file format unpacker to extract assets for my first unity game.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-directed learning and exploration, as indicated by a diverse range of personal projects. The projects span various domains (network security, algorithms, AI, data processing, game development), suggesting adaptability and a broad interest in technology. However, the lack of team-based projects or explicit collaboration details makes it difficult to assess cultural fit comprehensively. The current role as 'Data Scientist' at a university, if current, aligns with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or communication test results.